Data warehouse software News
July 21, 2016
As Azure SQL Data Warehouse reaches general availability, it brings massively parallel processing to a wider audience, and augers more competition in the cloud data space.
April 22, 2016
A new view on hybrid data architectures, in which data lakes and warehouses coexist, emerged at EDW 2016. The hybrid approach has implications for data design, skills and planning.
August 31, 2015
Hadoop is one of the most popular big data technologies. But when it comes to predictive modeling and data visualization, its utility is somewhat limited, users of HP's Vertica system say.
August 18, 2015
HP's Vertica analytics platform update will include better streaming data support via Kafka, and SQL-on-Hadoop improvements.
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With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company. Continue Reading
Data warehousing as a service (DWaaS) is an outsourcing model in which a service provider configures and manages the hardware and software resources a data warehouse requires, and the customer provides the data and pays for the managed service. Continue Reading
Big data analytics enables organizations to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights. Continue Reading
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Amazon's Redshift led the way in cloud data warehouses. Now IBM hopes to catch up on the wings of dashDB. Continue Reading
How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform. Continue Reading
The Microsoft Azure SQL Data Warehouse lets you scale compute and storage independently based on your performance needs, so you pay for query performance only when you need it. Continue Reading
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The crush of big data leads some data pros to seek more automation of data integration processes. The Pentaho software platform now offers metadata injection capabilities to help meet such needs. Continue Reading
In simple terms, successful analytics depends heavily on how well the information is prepared. Except it's not that simple. Many data scientists believe preparation of data for analysis is the biggest challenge they face, and it's all the more ... Continue Reading
In many organizations, Hadoop is still pushing to go beyond proof-of-concept projects. Some vendors hope new tools that enable familiar SQL querying will lead it to broader adoption. Continue Reading
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In a video interview, consultant Claudia Imhoff discusses the increasing need to augment data warehouses with technologies such as Hadoop and real-time analytics systems. Continue Reading
Claudia Imhoff and Colin White outline a business intelligence environment designed to accommodate existing data warehouses and new technologies. Continue Reading
A variety of performance issues can bog down Hadoop clusters. But there are ways to sidestep the pitfalls and keep your big data environment humming. Continue Reading